Issue |
EPJ Nuclear Sci. Technol.
Volume 6, 2020
|
|
---|---|---|
Article Number | 7 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/epjn/2020005 | |
Published online | 25 February 2020 |
https://doi.org/10.1051/epjn/2020005
Regular Article
Influence of the dissolved hydrogen concentration on the radioactive contamination of the primary loops of DOEL-4 PWR using the OSCAR code
1
CEA, DEN, 13108 Saint-Paul Lez Durance, France
2
CEA, DEN, 91191 Gif-sur-Yvette, France
3
ENGIE, LABORELEC, 1630 Linkebeek, Belgium
* e-mail: mehdi.gherrab@cea.fr
Received:
17
January
2019
Received in final form:
9
June
2019
Accepted:
22
January
2020
Published online: 25 February 2020
Corrosion products are generated in the primary circuit during normal operation and are activated in the core. Those activated corrosion products, mainly 58Co and 60Co (coming respectively from the activation of 58Ni and 59Co), are then transported by the primary fluid and deposited on the out-of-flux surfaces (steam generators, primary coolant pipes…). To minimize this radioactive contamination, one needs to understand the behavior of corrosion products by carrying out measurements in PWRs and test loops combined with a reactor contamination assessment code named OSCAR. The aim of this article is to evaluate the influence of the change in the Dissolved Hydrogen (DH) concentration on the contamination of the primary loops of DOEL-4 PWR, a Belgian unit. After the description of the principle of the OSCAR V1.3 code, its use is illustrated with the simulation of DOEL-4. Finally, those calculations are compared to autoclave experiments called DUPLEX with thermodynamic and chemical conditions closed to those observed in PWRs. OSCAR V1.3 calculations show that an increase in the DH concentration results in a decrease in 58Co surface activities. These results are consistent with those from the DUPLEX experiments. Finally, an increase of the DH concentration is then recommended in operating PWRs to reduce the 58Co surface contamination.
© M. Gherrab et al., published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1 Introduction
Understanding the PWR primary circuit contamination by corrosion products, fission products and actinides are a crucial issue for reactor operation and design.
The OSCAR code takes into account the chemical and physical mechanisms in operating reactors or at design stage. This code has been developed with this aim by CEA in collaboration with EDF and Framatome, and has actually been used since the early seventies [1].
OSCAR is a reliable tool for PWRs (also used for EPR, SFR, ITER [2], decommissioning, etc.) calibrated and validated with a complete database of contamination measurements on EDF fleet [3,4].
Water chemistry has an influence on corrosion [5] of the main materials (especially nickel-based alloys); in the Belgian PWRs the average dihydrogen concentration used is around 30 mL/kg, which is not the best value to mitigate stress corrosion cracking of the materials. It also has an influence on dissolution/precipitation mechanisms involved in contamination.
Water chemistry control may allow reducing significantly the radioactive contamination in the primary loops and therefore facilitating maintenance operations.
In this field, dissolved hydrogen (DH) plays a critical role in limiting the presence of oxidizing species due to water radiolysis [6]. Increasing DH could also reduce core internals cracking [7].
The aim of this study is to evaluate the influence of the DH on the contamination of the primary loops using the OSCAR code.
This study presents the results of a sensitivity analysis, using the 1.3 version of the OSCAR code, of the contamination of the primary loops of DOEL-4 PWR with DH concentrations ranging between 15 and 70 mL/kg.
The variation of the surface contamination in 58Co and 60Co are calculated on the hot legs, crossover legs and steam generators (SG) tubing. In order to explain those variations, the equilibrium Ni concentration in solution (assuming the thermodynamic equilibrium in the coolant with respect to the considered oxide inner or outer) and the Ni concentrations in solution are calculated in the SG and fuel regions.
The Ni dissolution (from the deposit/outer oxide to the ions) and the corrosion release (directly from the metal to the ions) flux of the SG are also calculated.
The equilibrium concentration in solution of each chemical element and the oxide speciation of the deposit are calculated by the OSCAR chemistry module, PHREEQCEA (a version of the PHREEQC code [8] extended to the PWR temperature range) in combination with a thermodynamic database developed by the CEA [9]. PHREEQCEA determines the composition of the ideal solid solution (mixed oxides and any pure solid phases possibly in excess) and the equilibrium concentration in solution of each species in relation to the chemical conditions (pH, H2, O2), the coolant temperature and the masses of the metallic element of the deposit in each regions. One may note in this article that the dominant species in solution is NiOH+ for Ni and Co(OH)2 for Co.
This article also presents autoclave experiments to evaluate the impact of several DH values on alloy 690 material, which are compared to simulation results.
2 The OSCAR Code
For corrosion products, the source term is the consequence of the corrosion of the base metals. The corrosion leads to the formation of oxide layers and induces the release of dissolved metals in the primary coolant. The main metallic elements taken into account are those composing the main alloys found in PWR primary system: Ni, Co, Fe, Cr and Mn.
The OSCAR modeling is based on the subdividing of the PWR circuits into elementary regions (cf. Fig. 1):
-
each region is defined by its geometric, thermal, neutron and hydraulic characteristics and by its base metal. These characteristics are the main input data required for an OSCAR simulation;
-
each region is characterized by six media: the base metal, the inner oxide layer, the deposit/outer oxide layer, particles, ions (species in solution) and purification media.
The OSCAR calculation consists in the resolution of the mass balance equations for each isotope in each medium of each region using the following equation:with the mass of the isotope (i) in a given medium (j) [kg], t the time [s], () the convection term [kg · s−1] and J m the mass flux between two media [kg · s−1]. The variations of the concentrations of the species in the six media result from corrosion, release diffusion, convection, activation, purification, radioactive decay mechanisms and the exchange flux between the media.
Figure 2 describes the different media and mass rates in a region. The main mechanisms involved in the transfers between the six media are dissolution/precipitation (between deposit/outer oxide and ions), erosion, deposition (between deposit/outer oxide and particles) and release directly from the metal to the ions. Dacquait et al. [3] have reported a detailed description of these mechanisms.
The dissolution of a deposit occurs when the concentration of a soluble species in solution is less than its equilibrium concentration in solution. Soluble species precipitate when their concentration in the coolant reaches their equilibrium concentration in solution.
Fig. 1 Control volumes of a typical PWR (HL: Hot leg / SG: Steam generator / COL: Crossover leg / RCP: Reactor coolant pump / CL: Cold leg). |
Fig. 2 Mass transfers between the different media in a region. |
3 Operating parameters of DOEL-4
DOEL-4 is a 3-loop PWR equipped with alloy 600 tubed steam generators then with alloy 690 after the steam generator replacement at cycle 11. The weight composition of alloy 600 and 690 is reported in Table 1.
The structure of the DOEL-4 primary circuit is modeled by control volumes using the design data of the reactor (wetted surfaces, hydraulic diameters, material compositions, nominal temperatures…).
Operating cycles of DOEL-4 are simulated using the 1.3 version of the OSCAR code with the real hydrogen concentration for cycles 1 to 22. Three additional reference cycles are calculated for DOEL-4 to test various hydrogen concentrations.
The parameters of the reference cycles are reported in Table 2.
The operating parameters (Power, CB, CLi, CH2, CO2) are given in Figure 3.
The last three cycles correspond to the reference cycles with a simulated shutdown at the end of each cycle.
Power is set to 100%, the boron concentration decreases at each cycle from 1424 pm to 157 ppm, the lithium concentration decreases from 3.35 ppm to 0.59 ppm. Concerning hydrogen, three cases are studied 15, 30 and 70 mL/kg with a stable value during the three cycles for each case. The oxygen peaks are due to the simulated shutdowns.
Weight composition of alloy 600 and 690 tubed steam generators.
Parameters of the reference cycles.
Fig. 3 DOEL-4 operating parameters. |
4 Influence of the DH concentration on the calculated contamination of DOEL-4 PWR
Calculated 58Co and 60Co surface activities inside the primary system (Hot leg, Crossover leg, hot side of the steam generator tubing and cold side of the steam generator tubing regions) are presented in Figures 4–7.
Concerning 58Co, it is clear that an increase of the DH value leads to a decrease in the surface activities in the primary system for the last three cycles of DOEL-4. Concerning 60Co, the decrease tendency is slight.
For DH concentrations of 15 and 70 mL/kg, the relative variations of the deposited activities (of 58Co and 60Co) on the out-of-core surfaces at the end of cycle 25 compared to a DH value of 30 mL/kg are presented in Table 3.
The increase in the DH concentration up to 70 mL/kg leads to a decrease in the deposited activities of 58Co and 60Co, respectively, by 57% and 4%.
On the contrary, a decrease in the DH down to 15 mL/kg leads to an increase of the deposited activities of 58Co and 60Co, respectively, by 74% and 4%.
This table shows that the DH concentration significantly affects the 58Co contamination of the out-of-flux surfaces and to a negligible extent the 60Co contamination.
It also shows that an increase in the DH concentration (from 15 to 70 mL/kg) leads to a decrease of the deposited activities of 58Co and 60Co.
Fig. 4 OSCAR V1.3 calculation − Surface activities in the Hot leg region of DOEL-4. |
Fig. 5 OSCAR V1.3 calculation − Surface activities in the crossover leg region of DOEL-4. |
Fig. 6 OSCAR V1.3 calculation − Surface activities on the hot side of the steam generator tubing region of DOEL-4. |
Fig. 7 OSCAR V1.3 calculation − Surface activities on the cold side of the steam generator tubing region of DOEL-4. |
OSCAR V1.3 calculation − Relative variations of the deposited activities on the out of core surfaces compared to a DH value of 30 mL/kg.
5 Comparison between the Ni equilibrium concentrations and Ni concentrations inside the core and steam generator tubing regions
When the DH concentration goes from 15 to 70 mL/kg, the Ni equilibrium concentration and Ni concentration inside the hottest core region change (see Fig. 8).
For DH concentrations of 15 and 30 mL/kg, Ni equilibrium concentrations are equal. Ni concentrations are above Ni equilibrium concentrations which means that Ni tends to precipitate in the hottest core region and even more for 15 mL/kg (widening of the gap between Ni equilibrium concentration and Ni concentration) than for 30 mL/kg. This 58Ni that precipitates on the fuel rods is activated in 58Co, eroded and transported by the primary fluid, makes deposits on the out-of-flux surfaces, for example in the steam generator (see Fig. 7).
On the contrary, an increase in the DH value up to 70 mL/kg, leads to smaller Ni equilibrium concentration and Ni concentration in solution are smaller. Ni concentration in solution is lower than the Ni equilibrium concentration in solution, and then Ni tends to dissolve from the deposit on the fuel rods into the reactor coolant.
When the DH concentration goes from 15 to 70 mL/kg, equilibrium Ni concentrations in solution and Ni concentrations in solution on the cold side of the steam generator tubing evolve (see Fig. 9).
Equilibrium Ni concentrations in solution and Ni concentrations in solution decrease when the DH increases (for DH concentrations of 15 and 30 mL/kg, Ni concentrations in solutions are equal).
For each DH values, Ni concentrations in solution are much lower than the equilibrium Ni concentrations in solution, and then Ni dissolves in the steam generator tubing in the three cases. An increase in the DH value induces a narrowing of the gap between equilibrium Ni concentrations in solution and Ni concentrations in solution and therefore a lower Ni dissolution in the SG tubing for higher DH values.
Fig. 8 OSCAR V1.3 calculation − Comparison between Ni equilibrium concentrations in solution (Ceq) and Ni concentrations in solution (Cion) inside the hottest core region. |
Fig. 9 OSCAR V1.3 calculation − Comparison between Ni equilibrium concentrations in solution (Ceq) and Ni concentrations in solution (Cion) inside the SG cold side region. |
6 Comparison between the Co equilibrium concentrations and Co concentrations inside the core and steam generator tubing regions
Co equilibrium concentrations and Co concentrations in the hottest fuel region and the SG cold side region in the case of a DH value of 70 mL/kg are presented in Figure 10.
Co equilibrium concentrations are generally above Co concentrations in the hottest fuel region and SG cold side regions. As a result, Co tends to dissolve from the deposit/outer oxide or slightly precipitate. This 59Co that precipitates on the fuel rods is activated in 60Co, eroded and transported by the primary fluid, makes deposits on the out-of-flux surfaces.
Note that the peaks observed for the last three cycles correspond to the cold shutdowns.
Fig. 10 OSCAR V1.3 calculation − Comparison between Co equilibrium concentrations (Ceq) and Co concentrations in solution (Cion) inside the hottest fuel and SG cold side regions with a DH value of 70 mL/kg. |
7 Ni and Co dissolution versus corrosion release rate calculated in the steam generator region
7.1 Concerning Ni
Ni dissolution (from the deposit/outer oxide to the ions medium) and the corrosion release rate (directly from the metal to the ions medium) from the cold side of the steam generator tubing (for the three DH values 15, 30 and 70 mL/kg) are calculated and presented in Figure 11.
Clearly, Ni dissolution from the deposit and corrosion release in the steam generator region decrease when the DH increases. The Ni comes mainly from dissolution, as the dissolution rate is two orders of magnitude higher than the corrosion release rate.
Fig. 11 OSCAR V1.3 calculation – Ni dissolution versus corrosion release rate in the steam generator region for cycle 25. |
7.2 Concerning Co
Co dissolution (from the deposit/outer oxide to the ions medium) and the corrosion release rate (directly from the metal to the ions medium) from the cold side of the steam generator region (for the three DH values 15, 30 and 70 mL/kg) are presented in Figure 12.
Co dissolution from the steam generator region increases with the DH concentration. On the other hand, the Co release rate from the steam generator region decreases when the concentration increases.
For a DH value of 70 mL/kg, the Co dissolution from the steam generator region is higher than for the other DH values while the corrosion release rate is the lowest one.
For DH values of 15 and 30 mL/kg, the Co comes mainly from the direct corrosion release of the steam generator tubing.
Fig. 12 OSCAR V1.3 calculation − Co dissolution versus corrosion release rate in the steam generator region for cycle 25. |
8 DUPLEX experiments
The DUPLEX experimental device, which is based on the principle of EVA device [10], consists of:
-
two titanium (TA6V) cells ① (see Fig. 13) crossed by a steady-state and monophasic flow;
-
the steam generator cell ②, set with a temperature of 270 °C, which reproduces the steam generator conditions and contains alloy 690 composed of Ni;
-
the core cell ③, set with a temperature of 340 °C, which reproduces the fuel cladding and contains pre-oxidized M5 alloy. This cell is dedicated to study the precipitation of the Ni corrosion product coming from the corrosion release of alloy 690.
The elementary composition, especially Ni composition, of different solutions with different DH concentrations is measured by mass spectrometry.
DUPLEX experiments aim to study the influence of the DH value (here 10, 28 and 70 cm3/kg) on the Ni coming from the corrosion of alloy 690 in the steam generator cell and then its deposition on the core cell.
The Ni mass deposited on the core cell is given for the three DH concentrations in Figure 14. It is clear that the Ni mass decreases with increasing DH concentration. The decrease is even more pronounced when the DH goes from 10 to 28 cm3/kg than from 28 to 70 cm3/kg.
Those experimental results are consistent with the OSCAR calculations shown in Figure 7. Indeed, Figure 7 represents surface activities on the cold side of the steam generator tubing for 58Co coming from the activation of 58Ni. So, if the increase of the DH value leads to a decrease in the 58Co surface activities, the variation has to be the same for 58Ni. This tendency is clearly confirmed by the Ni mass deposited on the core cell in Figure 14.
Fig. 13 DUPLEX device. |
Fig. 14 DUPLEX experiments − Ni mass deposited on the core cell for various DH values. |
9 Conclusion
For DOEL-4 PWR, OSCAR V1.3 calculations have shown that an increase in the DH concentration (from 15 to 70 cc/kg) leads to a significant decrease of the 58Co deposited activity and, to a negligible extent, of 60Co deposited activity.
Concerning 58Co, this phenomenon is governed by the Ni equilibrium concentration in solution, which decreases in the SG region with increasing DH. This leads to a lower Ni dissolution and corrosion release from the steam generator with high DH values (70 mL/kg in this study) and then, after activation and transport to the out-of-flux surfaces, to a lower 58Co contamination.
Concerning 60Co, calculated Co equilibrium concentrations in solution are generally above Co concentrations in solution in the fuel and the steam generator regions. As a result, Co tends to dissolve from the deposit/outer oxide or slightly precipitate.
The measured Ni deposited on the core cell in the DUPLEX experiment evolves in the same way as the calculated 58Co deposited activity (resulting from the activation of 58Ni in the fuel region). Indeed, the 58Co deposited activity and 58Ni mass decreases with increasing DH as observed, respectively, through OSCAR simulations and DUPLEX experiments.
Finally, one may recommend increasing the DH concentration in operating PWRs to reduce the 58Co surface contamination.
Author contribution statement
All the co-authors mentioned in this article actively contributed to the work reported in this article and I sincerely want to thank them. Indeed, F. Dacquait (senior expert in corrosion products in reactors) and E. Tevissen (contamination project manager) brought all their knowledge in the radioactive contamination field and the simulation of the behavior of corrosion products in PWRs through the OSCAR code. D. You (senior expert in reactor chemistry) has performed the duplex experiments with thermodynamic and chemical conditions closed to those observed in PWRs and brought all of his knowledge in the reactor chemistry field. Finally, this article results from a collaboration with R. Lecocq and K. Schildermans from ENGIE through the simulation of DOEL-4, a Belgian unit. Indeed, the structure of the DOEL-4 primary circuit has been modelled through OSCAR by control volumes using the design data of the reactor.
References
- P. Beslu, G. Frejaville, A. Lalet, A computer code PACTOLE to predict activation and transport of corrosion products in PWR, in Proceedings of the International Conference of Water Chemistry of Nuclear Reactors Systems 1, BNES, London, 1978, pp. 195–201 [CrossRef] [Google Scholar]
- L. Di Pace, D. Tarabelli, D. You, Development of the PACTITER code and its application to the assessment of the ITER divertor cooling loop corrosion products, Am. Nucl. Soc. 34, 733 (1998) [Google Scholar]
- F. Dacquait et al., Simulation of corrosion product transfer with the OSCAR v1.2 Code, in Nuclear Plant Chemistry Conference, Paris, 2012, pp. P1-24-193 [Google Scholar]
- J.-B. Genin, M. Benfarah, C. Dinse, M. Corbineau, Simulation of alpha contamination in PWR with the OSCAR Code, in Nuclear Plant Chemistry Conference, Sapporo, 2014, p. 10134 [Google Scholar]
- C.J. Wood, Comprehensive Nuclear Materials (Elsevier, Palo Alto, 2012) [Google Scholar]
- H. Christensen, Fundamental aspects of water coolant radiolysis, SKI report 2006:16, 2006 [Google Scholar]
- S.H. Baek, H.-S. Shim, J.G. Kim, D.H. Hur, Effects of dissolved hydrogen on fuel crud deposition and subcooled nucleate boiling in PWR primary water at 328 °C, Nucl. Eng. Des. 345, 85 (2019) [CrossRef] [Google Scholar]
- D.L. Parkhurst, C.A.J. Appelo, User's guide to PHREEQC (version 2) − A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations, Report 99-4259, US Geological Survey, Denver, Colorado, 1999 [Google Scholar]
- G. Plancque, D. You, E. Blanchard, V. Mertens, C. Lamouroux, Role of chemistry in the phenomena occurring in nuclear power plants circuits, in Proceedings of the International Congress on Advances in Nuclear power Plants, ICAPP, 2-5 May 2011, Nice, France (2011) [Google Scholar]
- D. You, S. Lefevre, D. Féron, F. Vaillant, Experimental study of concentrated solutions containing sodium and chloride pollutants in sg flow restricted areas, in Proceedings of the International Conference of Water Chemisty in Nuclear Reactor Systems, Avignon, France, April 2002, p. 8 [Google Scholar]
Cite this article as: Mehdi Gherrab, Frédéric Dacquait, Dominique You, Etienne Tevissen, Raphaël Lecocq, Kim Schildermans, Influence of the dissolved hydrogen concentration on the radioactive contamination of the primary loops of DOEL-4 PWR using the OSCAR code, EPJ Nuclear Sci. Technol. 6, 7 (2020)
All Tables
OSCAR V1.3 calculation − Relative variations of the deposited activities on the out of core surfaces compared to a DH value of 30 mL/kg.
All Figures
Fig. 1 Control volumes of a typical PWR (HL: Hot leg / SG: Steam generator / COL: Crossover leg / RCP: Reactor coolant pump / CL: Cold leg). |
|
In the text |
Fig. 2 Mass transfers between the different media in a region. |
|
In the text |
Fig. 3 DOEL-4 operating parameters. |
|
In the text |
Fig. 4 OSCAR V1.3 calculation − Surface activities in the Hot leg region of DOEL-4. |
|
In the text |
Fig. 5 OSCAR V1.3 calculation − Surface activities in the crossover leg region of DOEL-4. |
|
In the text |
Fig. 6 OSCAR V1.3 calculation − Surface activities on the hot side of the steam generator tubing region of DOEL-4. |
|
In the text |
Fig. 7 OSCAR V1.3 calculation − Surface activities on the cold side of the steam generator tubing region of DOEL-4. |
|
In the text |
Fig. 8 OSCAR V1.3 calculation − Comparison between Ni equilibrium concentrations in solution (Ceq) and Ni concentrations in solution (Cion) inside the hottest core region. |
|
In the text |
Fig. 9 OSCAR V1.3 calculation − Comparison between Ni equilibrium concentrations in solution (Ceq) and Ni concentrations in solution (Cion) inside the SG cold side region. |
|
In the text |
Fig. 10 OSCAR V1.3 calculation − Comparison between Co equilibrium concentrations (Ceq) and Co concentrations in solution (Cion) inside the hottest fuel and SG cold side regions with a DH value of 70 mL/kg. |
|
In the text |
Fig. 11 OSCAR V1.3 calculation – Ni dissolution versus corrosion release rate in the steam generator region for cycle 25. |
|
In the text |
Fig. 12 OSCAR V1.3 calculation − Co dissolution versus corrosion release rate in the steam generator region for cycle 25. |
|
In the text |
Fig. 13 DUPLEX device. |
|
In the text |
Fig. 14 DUPLEX experiments − Ni mass deposited on the core cell for various DH values. |
|
In the text |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.